Triple
T18473814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamato region |
E451372
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Omiwa Shrine |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Omiwa Shrine | Statement: [Yamato region, contains, Omiwa Shrine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omiwa Shrine Context triple: [Yamato region, contains, Omiwa Shrine]
-
A.
Ikuta Shrine
Ikuta Shrine is an ancient Shinto shrine in Kobe, Japan, revered as one of the city's oldest religious sites and a symbol of local cultural heritage.
-
B.
Ikasuri Shrine
Ikasuri Shrine is a historic Shinto shrine in central Osaka, Japan, revered for its role in local commerce and maritime safety.
-
C.
Miho Shrine
Miho Shrine is a Shinto shrine in Matsue, Shimane Prefecture, Japan, renowned for its ancient maritime traditions and strong association with the deity Kotoshironushi (Ebisu).
-
D.
Isonokami Shrine
chosen
Isonokami Shrine is an ancient Shinto shrine in Japan, renowned for its historical significance and legendary association with early imperial and military traditions.
-
E.
Tokiwa Shrine
Tokiwa Shrine is a Shinto shrine in Mito, Japan, known for its historical significance and scenic grounds that attract many visitors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53062387481909d4503fc963f9913 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 11:34 a.m.